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Bewertung und Feedback des Lernenden für Maschinelles Lernen mit Python von IBM

12,049 Bewertungen
2,085 Bewertungen

Über den Kurs

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. In this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed! By just putting in a few hours a week for the next few weeks, this is what you’ll get. 1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy 2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more. 3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course....


8. Okt. 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

6. Feb. 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

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1601 - 1625 von 2,079 Bewertungen für Maschinelles Lernen mit Python

von Tarit G

29. Nov. 2019

It was an awesome experience to learn machine learning. The instructor has explained every algorithm in a detailed way. It was very helpful.

von Luke P

25. Jan. 2021

Good course if you have some basic knowledge of Python and data analysis. However, much of the course material had typos and small errors.

von Laura S M D

14. Dez. 2019

Un curso muy completo, aunque mejoraría un poco los ejercicios, que al estudiante se le diera más importancia en la resolución del programa

von Jacqueline ( G

4. Aug. 2019

It's so bad when someone reviews your assignment and gives you an unfair score. But this happened a lot because of this peer review system.

von M R F D

4. März 2020

Well Explained. Video lecs are very easy to understand and upto the mark...Assignments little bit need more clarification and explanation.

von Luis R

19. Dez. 2021

Great course ! I really liked the fact that you don't need to install anything to try out the code and the system works without problems.

von Gaurav S

19. Juli 2019

The Course Could have been a little better if there were more theory and more illustrations at time a disconnect was felt in the Course

von Alonso h g

25. Okt. 2021

I think the methodology is outdated. But the bases are the same. It is remarkable that they teach how the algorithm and formulas work.

von Shivam S

7. Nov. 2020

Very fascinating course but exercises like final project will be more for exposure to real coding than it will be really more helpful.

von Roman S

9. Juni 2020

Course content and presentation is really good! The only thing i would add is the tuning of hyperparamaters which makes ML what it is.


3. Mai 2020

Great course but there should be videos where there is need of explanation on code as well, codes given are very good and covers basic

von Mallangi P R

27. Jan. 2020

I really liked the course content, way of teaching and assignments.

This will definitely help a beginner in data analysis to start with

von Beatriz E P

28. Jan. 2021

Very nice course!! You learn a lot more of the theory than the practice part, but the concepts are well explained and I learned a lot

von manasa k

22. Feb. 2021

A good course to quickly learn important aspects of ML with Python. The assignments and final exam is also very useful for learning.

von fang f

11. Juli 2020

quite good at the explanation and un-graded exercises.

But the knowledge could be deeper and more about parameters in Sklearn APIs.

von Ankit M

25. Juli 2019

Goodone for anyone who's a beginner in this field. But I personally suggest you to take the Data Analysis with Python course first.

von Raffaele N

13. Sep. 2019

Although not extremely detailed in the model optimisation part of the work, it is a very useful way to get started on applied ML.

von Sadanand U

2. Mai 2019

Gives a good overview of regression and classification algorithms . It could have been expanded to other ML algorithms as well.

von Mohitkumar R

12. Jan. 2019

Great course, SO much information and great excercise, In Captone project project guidance need improve,otherwise great course

von Katja M

22. Apr. 2021

It was a hard class - the concepts made sense but it is hard to figure out how to use them without more programming examples.

von Baptiste M

17. Nov. 2019

Very complete course yet full of typos even in the datasets. Lots of information were redundant but an overall great value.

von Eric H

20. Dez. 2018

After taking Andrew Ng's ML course, I still learned some new things here, but this course is rather shallow in comparison.

von Mitchell K

25. Mai 2021

This course was a great refresher from my data mining course in college, but I think some topics need to be expanded upon

von raviteja g

21. Nov. 2019

A pretty good course to get familiar with supervised learning. Topics on unsupervised learning were moderately explained.

von Stephane A

29. Apr. 2020

I learned a lot and I understood the different clustering algorithms to organize the data like DBSCAN, K-Means and more.